Programme Officer (Part-Time)

Are you passionate about making a difference in the lives of children and driving impactful programmes? Join us at Chen Su Lan Methodist Children’s Home as a Programme Officer and play a key role in shaping our initiatives and ensuring they align with our vision and strategic goals.

Key Responsibilities

1) Home’s Programmes

• Assist in coordinating and reviewing programmes and services within the Home.
• Oversee programme plans and timelines to ensure milestones and goals are met.
• Collaborate with stakeholders to align programme efforts with strategic priorities.
• Monitor and report on programme performance metrics, addressing challenges and celebrating achievements.
• Facilitate communication and collaboration for seamless initiative execution.

2) Secretariat for Subcommittees

Act as Secretariat for the Programmes Subcommittee and Audit Subcommittee, responsible for:

• Coordinating meetings and taking minutes.
• Liaising between subcommittees, stakeholders, and the Management Committee.
• Reviewing and documenting compliance with regulatory requirements.
• Ensuring confidentiality.

3) Data Protection Officer (PDPA)

Serve as the Data Protection Officer (DPO) responsible for:

• Ensuring compliance with the Personal Data Protection Act (PDPA).
• Liaising with the PDPC on data protection matters.

4) Other Duties

• Actively collaborate with internal stakeholders to deliver holistic outcomes for children.
• Perform other duties as assigned by the Executive Director or Senior Head, Residential Services.

Requirements

• Bachelor's degree in Business Administration, Project Management, or a related field.
• Minimum 3 years of experience in a similar role.
• Excellent verbal and written communication skills.
• Preferably with knowledge of governance, audit processes, or non-profit operations.
• Ability to build and maintain strong working relationships with diverse stakeholders.
• Strategic thinking and problem-solving skills.
• High attention to detail and accuracy.
• Strong time management skills to handle multiple priorities effectively.
• Able to work 3 days (up to 24 hours) per week

Why Join Us?

At CSLMCH, you will have the opportunity to contribute to meaningful work, collaborate with dedicated professionals, and make a lasting impact on the lives of children in need.

How to Apply

If you are organized, proactive, and passionate about driving impactful programmes, we would love to hear from you. Please send your CV and a cover letter to [email protected] with email subject: Programme Officer.

Together We Nurture Every Child and Family to Shine!

Chugai Pharmabody Research Pte. Ltd. (“CPR”) was established in Singapore as a wholly-owned subsidiary of Chugai Pharmaceutical Co., Ltd (Chugai), a member of Roche group, in January 2012 and started operations on July 2, 2012. Located at Biopolis in Singapore, it aims to generate new antibody drugs based on Chugai’s proprietary antibody engineering technologies, such as recycling antibody®, sweeping antibody®, bispecific antibody, various Fc engineered antibodies, and other new antibody engineering technologies that are under development.

Research Assistant – Pharmacokinetics unit

Job Scope:

· Pharmacokinetics Function – Plasma and tissue sample measurement, ELISA assay development, NCA and PK simulation, flow cytometry analysis, cell-based functional assay, confocal microscopy, qPCR etc.

Requirements:

· Degree in Biomedical Science/Biochemistry/Chemical Biology/Biotechnology/Molecular Biotechnology or related field.

· At least 1-2 years of working experience in a related field is preferred but not necessary. Fresh graduates are welcome to apply.

· Familiar with basic laboratory procedures. Experience in one of the assays listed in the job scope of Pharmacokinetics: Plasma and tissue sample measurement, ELISA assay development, NCA and PK simulation, flow cytometry analysis, cell-based functional assay, confocal microscopy, qPCR etc.

Interested applicants are invited to email their detailed resume, qualifications, availability, current and expected salary to: [email protected]

For more information regarding our Company, you may refer to our website at:
http://chugai-pharmabody.com/

We regret that only short-listed candidates will be notified

Research Fellow (Postdoctoral) positions are available in the Computational Digital Pathology Lab (CDPL) at the Bioinformatics Institute (BII), Agency for Science, Technology and Research (A*STAR), Singapore. The AI-based Digital Pathology (AIDP) Program aims to develop and validate advanced AI and machine learning solutions, image processing, computer vision, and mathematical modelling for the pathological diagnosis and prognosis of cancer using digitized pathology slides, including both biopsy and whole standard slides.

The innovative AI-based Digital Pathology Diagnosis (AIDP) programme is a pioneering venture set to transform the landscape of AI pathological diagnosis and solve the global shortage of pathologists and increasing cancer cases with cutting-edge AI technologies. Our focus is on bridging gaps in data quality, model generalizability and market scalability. This groundbreaking initiative aims to advance pathology practices by developing artificial intelligence systems that accurately diagnoses cancer and other diseases from digital pathology images. By leveraging state-of-the-art AI technology and advanced methodologies, we strive to achieve breakthroughs that will revolutionize the way pathologists diagnose diseases, such as Lymphoma, Gastric, Colorectal and Breast cancers, ultimately improving patient outcomes and healthcare efficiency. This program is supported by national funding and led by esteemed institutions/hospitals and cross-disciplinary leaders in the field, providing an unparalleled opportunity for professional growth and collaboration with top-tier experts.

We are seeking passionate, talented individuals to join our dynamic team. If you are driven by curiosity and have a desire to be at the forefront of AI medical innovation, this is the perfect opportunity for you. As a member of our team, you will work in a stimulating environment where creativity and initiative are highly valued. You will have access to state-of-the-art facilities, high-quality data and other resources, and the chance to contribute to high-impact research that can shape the future pathology. Our focus is on creating robust, reliable AI systems that can assist pathologists in making faster and more accurate diagnoses, ultimately leading to better patient care and improving the life quality of humankinds. We are looking for candidates who are not only skilled but also enthusiastic about making a difference. Join us in this exciting journey and be a part of something truly extraordinary! For a research overview of our lab, please refer to https://www.a-star.edu.sg/bii/research/ciid/cdpl

Specific Technical Requirements:

• Proficiency in one or more programming languages: Matlab, C/C++, or Python, etc.
• Extensive knowledge, experience, and expertise in artificial intelligence, machine learning, pattern recognition, and digital image processing techniques.
• Practical coding skills in implementing numerical computational algorithms.
• Strong analytical and logical thinking skills to address and solve complex scientific problems.
• Familiarity with deep learning frameworks such as TensorFlow, PyTorch, or similar.
• Demonstrated ability to learn quickly and integrate knowledge across multiple disciplines.
• Experience or willingness to engage in collaborations with hospitals and clinical settings. Basic knowledge of cell biology or pathology is beneficial.
• Ability to present and articulate research findings at both internal and external seminars and conferences.
• Strong writing skills for both technical reports and scientific papers.

General Requirements:

• Highly motivated scientists or recent Ph.D. graduates eager to pursue a scientific career, particularly with a passion for artificial intelligence, machine vision, computer vision and biological image processing projects.
• At least 5 years of relevant experience
• Strong team player capable of conducting independent research under the guidance of the Principal Investigator (PI) and collaborating effectively with lab members.
• Quick learner with the ability to adapt to new technologies and methodologies.
• Robust understanding and knowledge of scientific and engineering principles.
• Excellent scientific and technical writing skills, coupled with outstanding communication abilities.
• Proven experience or strong interest in working within cross-disciplinary teams, including collaborations with hospitals and clinical researchers.
• Previous experience in AI and image analysis projects, whether in an industrial or academic setting, is advantageous.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

Who are we?

We are the University of Cambridge research centre in Singapore called Cambridge CARES, sponsored by the NRF CREATE program CAM.CREATE. Health-driven design for cities (HD4) is a collaborative research programme between the University of Cambridge, Nanyang Technological University and National University Singapore within Cambridge CARES.

HD4 sits at the heart of Singapore’s global research and development hub and paves the way for a sustainable and healthy city. It will undertake research in the following key areas: characterising the features of the environment that potentially impact health in Singapore; understanding the links between environmental factors, individual behaviour and health outcomes; observing the impact of environmental change on health in Singapore; simulating the impact of potential changes on the health of Singaporeans; and working with government agencies to co-develop data-rich public health tools.

The scientific techniques, technologies, tools and most importantly the knowledge gained through the programme will create a comprehensive systems view of how the urban environment affects population health in Singapore. The programme will train and enrich the talent pool of the next generation of researchers, and benefit from local and international expertise and an innovative interdisciplinary research ecosystem. It will provide the basis for a data-rich public health framework, supporting the development of a healthy Singapore.

Who are we looking for?

We are seeking a highly skilled and motivated Air Quality Modeller to join HD4. Working collaboratively with a team of population health scientists, geospatial scientists, and data engineers the post holder will lead on building various emission inventories and air quality models for Singapore which incorporate the various air pollution sources in the country and allow for linkage with the geolocations of participants of the Singapore 100K cohort (SG100K), including some geo-located behavioural data. The models will also be set-up and used subsequent scenario modelling to estimate the impact of interventions on air quality and health and disentangle the various sources through source apportionment. This role requires a multi-skilled individual that can work independently and collaboratively in a multidisciplinary team environment.

Key Responsibilities:

• Collaboration: Work closely with researchers to understand the data needs of the programme and contribute to the design of scientifically robust and policy relevant models linking emission inventories to air quality models and spatially and temporally assigning exposures for human participants in subsequent epidemiological analyses and health impact assessments.
• Data, identification, production, and assembly: Collaborate with team and external scientists, national and local organizations, and conduct independent literature reviews to produce and synthesise the required data sources with high temporal and spatial resolution and to link data across various sources.
• Data verification validation: Identify and use various primary collected data and published secondary data from peer-reviewed and grey literature to verify and validate produced emission and air quality model outputs. Ensure model robustness through cross-checking, calibration, and validation through multiple iterations.
• Model building: Build operational and validated air quality models and link their outputs to human participants in static (e.g. at home address) and dynamic exposure (assigning exposures to other locations outside the residential address only e.g. while travelling) assignment for diverse population groups.
• Support: Provide technical support and training to researchers.
• Documentation: Create and maintain comprehensive documentation for model development, verification, and validation. Support project reporting and paper writing and submission to peer-reviewed journals.
• Innovation: Stay updated with the latest advancements in emissions and air quality modelling, and exposure assignment, to incorporate new technologies and methodologies.
• What skills will you need?
• Education: PhD degree in a relevant field.
• Experience: Proven experience in emissions and air quality modelling and validation.
• Technical Skills:

1. Expertise in emissions modelling
2. Expertise in air quality modelling and air pollution dispersion models such as ADMS-Urban and assigning exposures to other locations outside the residential address only
3. Expertise in geographical exposure assignment including for data with high temporal and spatial resolution
4. Practical experience of model building, verification, calibration, and validation
5. Understanding of health effects and health impact assessment methods
6. Proficiency with spatial analysis tools, databases, and libraries (e.g., ArcGIS, QGIS, PostGIS) and programming languages (e.g., Python, R) for GIS applications
7. Proficiency in programming languages such as R, more advanced coding e.g. C++ or Java would be an advantage
8. Knowledge of and interest in the study of air pollution’s health effects and its methodological challenges

• Communication: Excellent verbal and written communication skills in English, with the ability to convey complex scientific concepts to both technical and non-technical audiences.
• Research Methodology & Critical Thinking: Strong foundation in research methodology, critical thinking, and problem-solving abilities
• Proficiency in Office & Collaboration Tools: Strong skills in Microsoft Office applications (e.g., Excel, Word, PowerPoint) and familiarity with collaboration tools (e.g., Teams, Slack, SharePoint, GitHub).
• Independent & Collaborative Work: Ability to work independently on complex research tasks while effectively collaborating with multidisciplinary teams across multiple institutions and projects.
• Ethical Research Practices: Commitment to maintaining high ethical standards in research, including data integrity and responsible conduct.

Preferred Qualifications:

• Publication & Presentation Experience: Experience in publishing research in peer-reviewed journals and presenting findings at conferences or academic settings.
• Database Management: Experience with database management systems and data warehousing, including the ability to handle large datasets.
• Knowledge of software development methodologies and best practices.
• Familiarity with remote sensing and GPS technologies.
• Experience working with sensitive (e.g., personally identifiable) data.
• Experience or exposure to environmental epidemiological studies.

What can we offer you?

• A stimulating working-environment with friendly, highly motivated colleagues.
• Opportunities to develop and implement new ideas in a creative environment.
• A competitive salary in line with your skills and experience.
• A comprehensive medical insurance cover as part of your employment.
• Opportunity to work as part of a world-leading scientific research programme.

Please note this post is mainly based in the CREATE Tower at NUS University Town, Singapore.

How to apply?

Please apply by uploading your CV and academic transcript to https://jobs.employmenthero.com/jobs/cambridge-cares-air-quality-modeller-ai-researcher-for-hd4-hk-jw-7h79g.

If you have any questions, please feel free to reach out to the HR team at [email protected].

Research Fellow (Postdoctoral) positions are available in the Computational Digital Pathology Lab (CDPL) at the Bioinformatics Institute (BII), Agency for Science, Technology and Research (A*STAR), Singapore. The AI-based Digital Pathology (AIDP) Program aims to develop and validate advanced AI and machine learning solutions, image processing, computer vision, and mathematical modelling for the pathological diagnosis and prognosis of cancer using digitized pathology slides, including both biopsy and whole standard slides.

The innovative AI-based Digital Pathology Diagnosis (AIDP) programme is a pioneering venture set to transform the landscape of AI pathological diagnosis and solve the global shortage of pathologists and increasing cancer cases with cutting-edge AI technologies. Our focus is on bridging gaps in data quality, model generalizability and market scalability. This groundbreaking initiative aims to advance pathology practices by developing artificial intelligence systems that accurately diagnoses cancer and other diseases from digital pathology images. By leveraging state-of-the-art AI technology and advanced methodologies, we strive to achieve breakthroughs that will revolutionize the way pathologists diagnose diseases, such as Lymphoma, Gastric, Colorectal and Breast cancers, ultimately improving patient outcomes and healthcare efficiency. This program is supported by national funding and led by esteemed institutions/hospitals and cross-disciplinary leaders in the field, providing an unparalleled opportunity for professional growth and collaboration with top-tier experts.

We are seeking passionate, talented individuals to join our dynamic team. If you are driven by curiosity and have a desire to be at the forefront of AI medical innovation, this is the perfect opportunity for you. As a member of our team, you will work in a stimulating environment where creativity and initiative are highly valued. You will have access to state-of-the-art facilities, high-quality data and other resources, and the chance to contribute to high-impact research that can shape the future pathology. Our focus is on creating robust, reliable AI systems that can assist pathologists in making faster and more accurate diagnoses, ultimately leading to better patient care and improving the life quality of humankinds. We are looking for candidates who are not only skilled but also enthusiastic about making a difference. Join us in this exciting journey and be a part of something truly extraordinary! For a research overview of our lab, please refer to https://www.a-star.edu.sg/bii/research/ciid/cdpl

Specific Technical Requirements:

• Proficiency in one or more programming languages: Matlab, C/C++, or Python, etc.
• Extensive knowledge, experience, and expertise in artificial intelligence, machine learning, pattern recognition, and digital image processing techniques.
• Practical coding skills in implementing numerical computational algorithms.
• Strong analytical and logical thinking skills to address and solve complex scientific problems.
• Familiarity with deep learning frameworks such as TensorFlow, PyTorch, or similar.
• Demonstrated ability to learn quickly and integrate knowledge across multiple disciplines.
• Experience or willingness to engage in collaborations with hospitals and clinical settings. Basic knowledge of cell biology or pathology is beneficial.
• Ability to present and articulate research findings at both internal and external seminars and conferences.
• Strong writing skills for both technical reports and scientific papers.

General Requirements:

• Highly motivated scientists or recent Ph.D. graduates eager to pursue a scientific career, particularly with a passion for artificial intelligence, machine vision, computer vision and biological image processing projects.
• Strong team player capable of conducting independent research under the guidance of the Principal Investigator (PI) and collaborating effectively with lab members.
• Quick learner with the ability to adapt to new technologies and methodologies.
• Robust understanding and knowledge of scientific and engineering principles.
• Excellent scientific and technical writing skills, coupled with outstanding communication abilities.
• Proven experience or strong interest in working within cross-disciplinary teams, including collaborations with hospitals and clinical researchers.
• Previous experience in AI and image analysis projects, whether in an industrial or academic setting, is advantageous.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

A Scientist position is available at the Hair & Pigmentation Development Laboratory within A*STAR Skin Research Labs, a partner in the Skin Research Institute of Singapore. This candidate will become part of our research group to elucidate mechanisms regulating hair morphogenesis, growth and regeneration. This project will take up 100% of his/her time. The research fellow will lead the project and oversee a team composed of a research officer and a student.

Job Responsibilities:

• Cell culture of primary skin cells
• 2D and 3D co-culture models of hair follicle cell
• Prospective isolation of human and mouse hair follicle cells
• Whole and spatial transcriptome analysis
• Hair induction mouse models

Job Requirements:

• Degree in Biology, Bioengineering, Life Sciences or equivalent
• Advanced cell culture and molecular techniques
• Experienced with 2D and 3D skin organotypic assays
• Experienced with mouse in-vivo models
• Experienced with RNA, single-cell and spatial transcriptomics analyses
• Excellent communication (verbal and written) and presentation skills
• Highly motivated, passionate about science, committed to laboratory work and able to work flexible hours, as required by experimental planning

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for the position of Research Fellow in the Department of Computer Science, School of Computing (SoC). SoC is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights in developing novel computational solutions to a wide range of applications, building largescale experimental systems, developing theories and policies for effective management of information systems in organizations, and improving the well-being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems.

The Research Fellow will be responsible for working closely with the Principal Investigator on one or more projects.

Description

Fuzzing is a powerful technique for finding security vulnerabilities in systems and is used by corporations regularly. In this work, we will study the role of AI in cybersecurity - by aiding fuzzing techniques with large language models.

Tasks

• Conduct Research on AI-Aided Fuzzing: Lead research efforts to explore the integration of large language models (LLMs) with fuzzing techniques for identifying security vulnerabilities in systems. Design experiments and methodologies to evaluate the effectiveness of AI-aided fuzzing in comparison to traditional methods.
• Develop AI Models for Fuzzing Enhancement: Develop and implement AI models, including deep learning architectures, reinforcement learning algorithms, and natural language processing techniques, to enhance fuzzing capabilities. Train these models on relevant datasets to improve their ability to generate meaningful inputs for fuzzing.
• Collaborate with Interdisciplinary Teams: Collaborate with interdisciplinary teams comprising cybersecurity experts, AI researchers and software engineers to integrate AI-aided fuzzing techniques into existing cybersecurity frameworks. Communicate findings and insights effectively to team members and stakeholders.
• Publish Research Findings: Document research findings in academic publications, conference papers, and technical reports. Disseminate knowledge gained from the study of AI in cybersecurity, particularly in the context of fuzzing, to the broader research community through presentations and workshops.

Qualifications

• Ph.D. in Computer Science, Cybersecurity, or a related field: A terminal degree in a relevant field is essential to demonstrate the depth of knowledge and expertise required for conducting advanced research in AI and cybersecurity.
• Research Experience in Fuzzing and AI: Proven track record of conducting research in fuzzing techniques and artificial intelligence, with a focus on deep learning, natural language processing, or reinforcement learning. Experience in applying AI methods to cybersecurity problems is highly desirable.
• Publication Record: Demonstrated ability to publish research findings in reputable conferences and journals relevant to AI, cybersecurity, or software engineering. Strong publication record in top-tier venues indicates the ability to contribute novel insights to the field.
• Programming and Software Development Skills: Proficiency in programming languages such as Python, C/C++, or Java is necessary for developing and implementing AI algorithms and fuzzing tools. Experience with software development methodologies and version control systems is advantageous.
• Analytical and Problem-Solving Skills: Strong analytical skills and problem-solving abilities are essential for designing experiments, analyzing data, and deriving actionable insights from research findings. Experience with experimental design and statistical analysis techniques is beneficial.
• Communication and Collaboration Skills: Excellent written and verbal communication skills are required to convey complex ideas and technical concepts to both technical and non-technical audiences. Ability to collaborate effectively with interdisciplinary teams and communicate research findings clearly is crucial.
• Self-Motivation and Initiative: Demonstrated ability to work independently and take initiative in driving research projects forward. Proven track record of self-motivated learning and exploration of new methodologies and technologies in the field of AI and cybersecurity.
• Candidates who meet these qualifications and possess a strong passion for advancing the state-of-the-art in AI-aided cybersecurity, particularly in the domain of fuzzing, are encouraged to apply.

Only shortlisted candidates will be notified.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Dr Liu Boxiang on single-cell multi-omic analysis under a project on developmental trajectory of pancreatic islets.

The main responsibilities of the position include:
- Generating single-cell multi-omic data
- Single-cell multi-omic data analysis
- Manuscript writing

Qualifications

• Qualifications / Discipline: PhD in Bioinformatics

• Skills: RNA-seq and single-cell multi-omic analysis, sequencing data generation

• Experience: PhD in bioinformatics; industry research experience preferred.

Company Overview:

Wilmar International Limited is Asia’s leading agribusiness group. Wilmar International business activities include oil palm cultivation, edible oils refining, oilseeds crushing, consumer pack edible oils processing and merchandising, specialty fats, oleochemicals, and biodiesel manufacturing, and grains processing and merchandising. It has over 1,000 manufacturing plants and an extensive distribution network covering China, India, Indonesia and some 50 other countries. The Group is backed by a multinational workforce of about 100,000 people.

Job Summary

We are currently recruiting a position for an assistant research officer to join Wilmar’s corporate lab (WIL@NUS). The potential candidate will be primarily involved in data analytics and machine learning. The project objectives are to model analytical data collected from Wilmar's factories or R&D centres to predict quality parameters related to the product.

Main responsibilities of the incumbent (not limited to):

• Manage and pre-process data
• Ability to code and script based on specified tasks
• Statistical analysis and machine learning experience in the following area
• Forecasting using time series data
• Neural networks, in particular recurrent and long short term memory networks
• Versatile in applying computational techniques to solve open problems
• Participate in seminars and research-in-progress meetings within the team and collaborators

Job requirements:

• Team player and ability to communicate technical concepts to lay people
• Ability to code in a few languages - R, python, java, bash
• Machine learning and statistical background
• Positive learning attitude towards new ideas

Computational Systems Biology deals with mathematical formulation adopted on a computational platform to analyse experimental biological datasets. Here, the candidate with work with multidisciplinary team members to develop a computational model of a microbial system under variable experimental conditions.

The highly motivated and experienced candidate will drive a project in optimizing sustainable food production through a microbial chasis. The candidate will have an opportunity to learn and innovate on deep learning -based flux analysis.

Responsibilities:

• Set up computational pipeline, code in python, and conduct relevant bioinformatics analysis
• Communicate progress, research findings, and implications to stakeholders
• Draft documentation, manuscripts, and slides

Requirements:

• Bachelor or Master in Bioinformatics, Computer Biology, Molecular Biology, or related field.
• Experience in preprocessing and analyzing RNASeq and/or meta-transcriptomics data
• Coding or scripting experience in any language
• Be a self-starter, detailed orientated, and with a growth mindset
• Proficient in python programming and the usage of its interactive notebook
• Have experience in applying flux balance analysis
• Have interest in, or a basic understanding of microbial biology
• Have an interest in post-graduate studies

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

HR Officer - Ship Management Company

We are seeking a skilled and experienced HR Officer to join our dynamic team at our Singapore-based Ship Management Company. The ideal candidate will play a crucial role in managing HR functions for our office staff,

Responsibilities:

Organizational Structure and Job Descriptions

- Review and redesign organizational hierarchy, considering interdepartmental relationships and internal workflows

- Analyze and update job descriptions for office staff to ensure alignment between procedures and actual practices

Policy Development and Implementation

- Propose, develop, and implement comprehensive office policies, including (but not limited to:

- Work from Home Policy

- Loan Policies

- Leave Policies

- Travel Allowance

- Phone Benefits / Usage Policies

Performance Management

- Develop metrics to evaluate staff performance

- Create and implement a performance-to-rewards system to identify and recognize high-performing staff

Employee Relations

- Address employee grievances promptly and professionally

- Facilitate conflict resolution to maintain a harmonious workplace

Training and Development

- Assess training needs across departments

- Coordinate and implement development programs to enhance employee skills and performance

Reporting and Analytics

- Prepare and present reports on HR metrics to senior management, including:

- Turnover rates

- Employee satisfaction levels

- Compliance issues

Requirements:

- Bachelor's degree in Human Resources, Business Administration, or related field

- Minimum 3-5 years of experience in HR, preferably in the maritime or shipping industry

- Strong knowledge of Singapore employment laws and regulations

- Experience in managing remote teams and implementing remote work policies

- Excellent communication and interpersonal skills

- Proficiency in HR software and Microsoft Office (Suite)

- Ability to handle confidential information with discretion

Benefits:

- Competitive salary package

- Opportunities for professional development

- Health insurance coverage (Medical/Dental)

If you are passionate about HR and have the skills to drive our organization forward, we encourage you to apply. Join us in creating a positive and productive work environment for our diverse team of professionals in the ship management industry.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

Duties & Responsibilities
1.Recruit, train, assess and supervise personnel performing recruitment and interviewing to ensure quality of the participant data.
2. Manage the recruitment listings and study visit scheduling to ensure response rates and operating capacity are maximised, and project timelines are being met
3. Design, test, implement and review new workflows or surveys
4. Recontact participants to verify and rectify collected information
5. Ensure participant information in the operations database is updated and accurate and the completed consent and data forms are accounted for and securely stored
6. Record and track the submission, rework or rejection of consent forms and questionnaires and generate reports on data quality
7. Investigate participant complaints and incidents and implement appropriate actions for continual improvement of processes and service
8. Supervise and guide callers, interviewers and recruiters on professional conduct and responsiveness to ensure participant satisfaction and willingness to contribute for the long-term
9. Compute monthly payments to the recruiters
10. Manage the cash and vouchers for the reimbursement to participants of various projects

Qualifications

• A degree holder, preferably from a biomedical or life science discipline
• Minimum 3 years of working experience and 1 year of supervisory experience
• Clear and good communication skills
• Careful and meticulous with data management
• Fluent in English and at least 1 other local language (for examples Malay or Chinese) to be able to understand and communicate with research participants who are only able to speak Malay or Chinese
• Proficient in Microsoft applications

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Prof. Mandar Chitre on the research on medium access control (MAC) under space-time coupling mesh-connected networks.

The main responsibilities of the position include:

• Conduct in-depth analysis of medium access control (MAC) in mesh-connected underwater acoustic networks (UANs), focusing on space-time coupling characteristics.
• Investigate the impact of space-time coupling on MAC performance, including access capacity and network efficiency, in mesh-connected UANs.
• Design and optimize topology-shaping techniques for mesh-connected UANs to enhance network performance.
• Simulate and test the proposed algorithms and network designs to evaluate their effectiveness in improving access capacity and reducing interference.
• Work collaboratively with interdisciplinary teams to align research findings with practical applications in underwater resource development.

Qualifications

PhD in Electrical Engineering, Computer Science, or a Related Field, with a focus on one or more of the following areas:

• Wireless Communications
• Underwater Acoustic Communications
• Network Protocols and Medium Access Control (MAC)
• Signal Processing

• Position: HR Assistant or Officer
• Location: Tuas Crescent - Company transport provided (Pick up point at Jurong East and Marsiling MRT)
• Working hours: 5 days, Mon to Fri (8.30am- 5.15pm)
• Salary (commensurate on experience): Up to $3800+ Bonus + 14 days annual leave
• Duration: Permanent
• Industry: Wholesale of diesel-powered generators

Main Responsibilities:

• Carry out end-to-end recruitment, on-boarding, employee exit management, performance management, implementation of HR policies and procedures, staff training & development
• HR administration such as data entry, filing, prepare employment contracts, letters and other documentation
• Conduct staff orientation and regular briefing on company policies and procedures
• Support in monthly payroll including attendance checking and Overtime processing
• Administration on Foreign workers work pass renewal & MYE matters, dormitory (staff housing) & others
• Administration on employee insurance, government paid claims, staff benefit claims, employee training and others
• Support and manage in company’s events and activities such as stock take, annual dinner, festive celebration and others
• Prepare and Deliver timely and accurate data, reports and office administration
• Participate in HR projects and provide any other HR support assigned

Requirements:

• Diploma or Degree in Human Resources or Administrative / Business Studies
• Minimum 1-2 years of full spectrum HR working experience as generalist including payroll processing.
• Preferably from construction / manufacturing, industrial sector.
• Familiar with MOM regulations and HR practices
• Bilingual in English and Mandarin to liaise with Mandarin speaking associates in view of business communications

Email to [email protected]

Do visit www.facebook.com/search.personnel and https://www.instagram.com/search.personnel for more job listings and career tips!

**We DO NOT charge our candidates any referral fee nor bind them with any contract.**

Joie Chang

Deputy Consulting Director (APAC)

Reg no.: R2090601 | EA No: 13C6684

Thank you for your interest in this position. Our shortlisting period is 3 working days. Only shortlisted candidates will be contacted for further consideration.

If you do not receive communication from us within this timeframe, it's likely that your application has not been shortlisted by our client. In such cases, we recommend that you continue your job search to maximize your opportunities. We wish you all the best and should we have any suitable roles that match your experiences/ qualifications/ preferences, we will reach out to you.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The job holders are to work with PI and the research team to process air quality data and study small-scale dispersion of airborne pollutants in urban environment.

Qualifications

One or more of (but not limited to) the following:

• Proven as a fast learner of conducting literature search and literature summary
• Experiences of VOC speciation via chromatography and/or online real-time detection instrument (e.g., PTR-MS)
• Proficient of handling data via 2 methods among Excel, R, Matlab, Python, etc.
• Proactive in assisting and contributing to quality scientific research publications
• Keen on field studies with prior experiences
• Proficient in technical presentation, slide making, report writing, etc.
• Proven rounded and effective team player with strong initiative and ownership of the research project

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The job holders are to work with PI and the research team to process air quality data and study small-scale dispersion of airborne pollutants in urban environment.

Qualifications

One or more of (but not limited to) the following:

• Proven as a fast learner of conducting literature search and literature summary
• Experiences of chemical characterization via chromatography (GCMS, LCMS, GCTOFMS, etc.)
• Proficient of handling data via 2 methods among Excel, R, Matlab, Python, etc.
• Proactive in assisting and contributing to quality scientific research publications
• Keen on field studies
• Proficient in technical presentation, slide making, report writing, etc.
• Proven rounded and effective team player with strong initiative and ownership of the research project

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The NUS Centre for International Law (CIL) is accepting applications for Research Associate for its Energy Law and Policy Programme (ELP). The ideal candidate would be interested in working on globally-oriented energy governance issues with a regional focus, particularly topical issues of a cross-cutting nature. CIL encourages its research staff to develop independent and joint research within its areas of focus. Candidates with interdisciplinary research experience/perspectives are encouraged to apply.

In addition to conducting research, the Research Associate (RA) is expected to assist in planning and organising international and regional conferences, workshops and training courses for government officials; and to be involved in drafting background papers and/or reports for such events.

In the case of cross-cutting issues, the RA is expected to collaborate with other research teams within CIL to ensure efficient and effective research outcomes. He/ She is also expected to contribute to the development and maintenance of an internal knowledge base as well as efforts to keep the CIL website and other research-related social media platforms up to date.

The successful candidate can look forward to working at the forefront of governance issues as part of the global energy transition and contributing to shaping the future of energy governance at both the global and regional levels. CIL also provides opportunities for its research staff to attend regional and international conferences, workshops and symposiums. There would also be opportunities to work with leading international and regional experts in this field and gain valuable exposure to a range of energy governance issues and perspectives. The successful candidates can look forward to joining a small collegial team that values team work and excellence.

Qualifications

• A Juris Doctor (JD) or a Master of Laws (LLM) in international law with a demonstrable interest in energy and/or environmental governance issues and strong research, writing and analytical skills.
• Candidates with strong IT skills and experience creating and managing engaging social media content across various platforms will have an added advantage.
• Candidates with a particular interest in Southeast Asia and its regional institutions are strong encouraged to apply.

Application Procedures

Interested applicants are invited to apply online via the NUS Career Portal with the following documents:

• Detailed curriculum vita
• Cover letter that demonstrates why you should be considered for the relevant position
• Two samples of written work
• Names/contact information of two (2) referees

Applications are assessed on a rolling basis and only short-listed candidates will be contacted. For enquiries, please contact Ms Huong Tam at [email protected]

More Information

About Centre for International Law (CIL)

The Centre for International Law (CIL) was established in 2009 as a university‐level research institute at National University of Singapore (NUS). It is located on the Bukit Timah Campus of NUS, together with the Faculty of Law. As a university-level research institute, CIL is expected to engage in multi-disciplinary research as well as legal research. For more information on the Centre including its vision and mission please see www.cil.nus.edu.sg.

Energy Law and Policy Programme

The Energy Law & Policy Programme is a new programme area which CIL is developing, building on its existing Nuclear Law and Policy Programme which now forms part of the new ELP Programme. The Programme is headed by Denise Cheong, who was previously the head of CIL’s Nuclear Law & Policy Programme. For further information on the Energy Law and Policy team and their projects, events and publications, please visit https://cil.nus.edu.sg/

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The job holders are to work with PI and the research team to conduct research characterizing airborne pollutants in urban environment.

Qualifications

One or more of (but not limited to) the following:

• Experience in applying data analytics, machine learning and handling big data
• Experience in applying Pythons functions of matplotlib, and numPy, pandas, statsmodels
• Fast learner - capable of conducting independent research and proficient literature search, review & summary with strong background in Chemical Engineering / Chemistry / Physics
• Experience in operating instruments measuring physical and/or chemical properties of airborne pollutants
• Proactive in assisting and contributing to quality scientific research publications
• Proficient in technical presentation, slide making, report writing, etc.
• Proven rounded and effective team player with strong initiative and ownership of the research project

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

Applications are invited for a Research Associate in the NUS Centre for International Law (CIL). This is a one-year contractual position offered in connection to CIL's expansion of its programme on international economic law and policy. The objective of the position is to develop the research capabilities and knowledge of junior scholars by immersing them in a dynamic and supportive research environment where they can enhance their understanding of different areas of international economic law and policy.

The duties of the incumbent will involve:

• Assisting the Head of the International Economic Law and Policy programme in research in connection with the programme’s ongoing projects in international economic law, including CIL’s position as an official observer in UNCITRAL Working Group III, CIL’s ongoing work on international economic law and climate change, and its work on the evolution of the international architecture for economic regulation.
• Assisting with the development and organization of seminars and workshops organized by CIL, including the Singapore International Arbitration Academy.
• Conducting research and completing at least one publication for possible publication in a recognized journal at the termination of the position.

All research staff in CIL will have access to professional development opportunities (e.g., events, seminars, and training programmes) within NUS. They will also have opportunities to attend regional and international conferences, workshops and symposiums as well as other scholarly opportunities.

Qualifications

• An LLM or JD degree or equivalent experience;
• A solid foundation in international economic law, e.g., trade, investment and other areas of international economic law broadly understood;
• Excellent analytical, research and writing skills;
• A high degree of self-motivation and strong organisational and computer skills.

Application Procedures

Interested applicants are invited to apply directly via the NUS Career Portal with the following supporting documents :

• A covering letter indicating experience, motivation for applying to work at CIL, and research interests
• A detailed curriculum vitae (no more than three pages) setting out educational and work history
• University transcripts
• One sample of written work
• The names and details of two referees

Please note only shortlisted candidates will be notified. For enquiries, please contact Ms Huong Tam at [email protected]

More Information about CIL

CIL was established in 2009 as a university-level research institute at the National University of Singapore (NUS). It is located on the Bukit Timah Campus of NUS, together with the Faculty of Law and the Lee Kwan Yew School of Public Policy. As a university-level research institute, CIL engages in both legal and multi-disciplinary research on wide variety of international law issues. Its mission is to enable Singapore and the Asia-Pacific region to play a more significant role in the promotion and development of international law. More about CIL can be found here: https://cil.nus.edu.sg

Project Overview

SMART M3S is undertaking a project that includes three key work streams:

1) Content: Developing an ontology encompassing various activities, actors, and processes arranged systematically. This involves:

• Extracting content from databases like the Department of Labor's O*Net.
• Human Curation and editing.
• Utilizing Large Language Models(LLMs) for content generation.
• Applying machine learning and statistical techniques to identify clusters of similar activities.

2) Software Tools: Creating a suite of software tools to :

• Browse, edit, and search the online knowledge base.
• Extract content from diverse sources.
• Facilitate human review.
• Integrate LLMs for content generation.
• Support applications demonstrating the ontology's usefulness.

3) Applications: Developing proof-of-concept applications by the end of the one-year project to showcase the ontology's utility. Potential areas include:

• Rapid identification of use cases for generative AI tools.
• Automated generation of detailed workflows and task assignments.
• Stimulating human creativity to address business and societal challenges like climate change and democratic processes.

Responsibilities

The Full Stack Developer will perform the following:

• Design, develop and maintain software tools essential for creating and managing the ontology and its applications.
• Work closely with a multidisciplinary team of researchers, developers, and content specialists.
• Integrate Large Language Models into software applications to enhance functionality.
• Optimize existing codebases for performance and scalability.
• Conduct code reviews, write unit tests, and ensure software reliability.

Requirements

• Bachelor's Degree with proven experience and a strong portfolio
• Deep knowledge and hands-on experience with the following technologies:

1) Frontend:

• Next.js
• TypeScript
• MUI (Material-UI)
• D3.js

2) Backend:

• Node.js
• Firebase and Firebase Cloud Firestore

3) Testing:

• Jest
• Cypress
• Proficiency in LLM Prompt Engineering.
• Excellent analytical and problem-solving skills.
• Ability to work independently and collaboratively in a team environment.
• Strong verbal and written communication skills.

_________________________________________________________________

Applicants are required to complete the following as part of the screening process:

1) Clone and Optimize

-Clone this code sandbox (https://codesandbox.io/p/sandbox/react-usestate-update-nested-in-another-usestate-functional-update-r4lwq0?file=%2Fsrc%2FApp.js)

-Optimize the code for performance and readability.

2) Submit Solution:

-Provide the URL to your optimized solution.

-Include a detailed description of the optimizations made and the reasoning behind them.

GitHub Respository: Link to your GitHub profile showcasing relevant projects.

To apply, please visit our website at: https://portal.smart.mit.edu/careers/career-opportunities

Interested applicants are invited to send in their full CV/resume, cover letter and list of three references (to include reference names and contact information). We regret that only shortlisted candidates will be notified

Key Responsibilities:

• Assist in the planning, execution, and monitoring of civil engineering projects to ensure they are completed on time and within budget.
• Supervise construction activities on-site, ensuring compliance with technical specifications, safety regulations, and quality standards.
• Liaise with project managers, clients, subcontractors, and authorities to ensure effective communication and project alignment.
• Conduct regular site inspections to monitor progress, quality of work, and adherence to safety protocols.
• Review technical drawings and designs for accuracy and ensure they are implemented correctly on-site.
• Prepare progress reports and documentation for management and stakeholders.
• Identify potential issues or risks during project execution and develop appropriate mitigation strategies.

Qualifications:

• Education: Bachelor’s degree in Civil Engineering recognized by the Professional Engineer Board (PEB) or Building Construction Authority (BCA).
• Experience: Minimum of 8-10 years of relevant local experience in civil engineering projects, specifically in infrastructure, sewer & drainage, and roadworks.
• Certifications: Possession of Resident Technical Officer (RTO) certification is preferred.
• Project Exposure: Experience working on LTA, HDB or PUB projects is highly desirable.

Skills:

• Strong technical knowledge of civil engineering principles and practices.
• Excellent leadership and team collaboration skills.
• Proficient in project management software, AutoCAD, MS Office, and MS Project.
• Ability to work independently with minimal supervision while meeting tight deadlines.
• Strong problem-solving skills and attention to detail.

Benefits:

• Competitive salary package commensurate with experience.
• Opportunities for professional development and career advancement.
• A dynamic work environment focused on innovation and sustainability.

Job Specifications

• Process accounts and incoming payments in compliance with financial policies and procedures
• Verifying, classifying, posting and recording accounts receivables’ data
• Generate reports detailing accounts receivable status
• Perform cash collection & cash count
• Update/offset receipts from customers
• Prepare bank deposits
• Ensure timely submission of Statement of Account (weekly / monthly)
• Facilitate payment of invoices due by sending bill reminders, follow up with customers on payments and contacting clients
• Liaise with sales team/customer service on clients’ billing issues, CN and payment discrepancies
• Assist in AP when required

Job Requirements

• At least LCCI or any other Professional Certificate/NiTEC in Accountancy or equivalent.
• Minimum 2 Year(s) of working experience in the related field.
• Knowledge in Navision system will be an advantage
• Proficient in Excel
• Positive and Hardworking

Job Description:

- Main contact point for customers.

- need to liaise with warehouse and suppliers related to their account they handled

- handling of inbound and outbound of the customer shipment, includes discrepancies

- handles emails, and phone calling.

- arrange local transportation, Courier booking or export booking if any

- Generating of report

- inventory management and Stock take

- Month end Billing

- any other ad hoc request from superior

- backup buddy system

- working hours - Mon to Friday 8.15am to 5.30pm

- OT Required (if requested)

We are seeking an experienced Bioinformatics Scientist to support new diagnostics product development and support data analytics in software development for Software as a Medical Devices. In this role, you will play a crucial role in driving the successful execution of diagnostic products in collaboration with external partners. The ideal candidate should possess a strong background in bioinformatics and knowledge of biostatistics is highly preferred.

Job Responsibilities:

• Design, development and deployment of latest bioinformatics analysis pipelines for IVD development.
• Design, development and deployment of Bioinformatics pipelines in multi-omics data such as NGS processing, analysis, and reporting for IVD product development
• Provide Bioinformatics analysis support for diagnostics assay product development.
• Provide Biostatistics analysis support for clinical study of diagnostics product development.

Job Requirements:

• PhD or Degree in Computational Biology, Bioinformatics, or a related field, with a strong emphasis on data analytics and machine learning in biological contexts. 1- 2 years of experience or equivalent in industry settings.
• Proficient in working language with Python, R/Matlab. Good knowledge of bioinformatics workflow languages such as Nextflow, Snakemake and Common Workflow Language (CWL).
• Experience with biostatistical analysis and AI machine learning for biomarker identification and predictive model development.
• Experience with Biopython, Bioconductor, Linux and cloud-based deployment is advantageous.
• Knowledge of statistical software such as Minitab, R, SAS/STAT and SPSS, etc. is a plus.
• Experience with IVD (compliance, validation) is a plus.
• Excellent communication and collaboration skills, with experience working independently and in multi-disciplinary teams.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

The Institute of High Performance Computing (IHPC) was established in April 1998 to provide leadership in high performance computing as a strategic resource for scientific inquiry and industry development. Our mission is to advance science and technology, and develop leading edge applications through high performance computing and computational science.

We are looking for highly motivated individuals who are able to work independently and yet are good team players, possess excellent analytical, technical and problem-solving skills, good technical writing and presentation skills. If you share our interests in solving challenging scientific problems using computational science, mathematical methods and/or engineering techniques, we welcome you to apply for the following position.

SYSTEMS SCIENCE DEPARTMENT

Research Scientist (Urban Systems & Transportation modelling)

We are looking for researchers who are highly motivated with a passion for developing solutions relating to modelling and simulation of transportation and complex urban systems. The candidate will join a multidisciplinary team of scientists and engineers to develop next generation transport and urban R&D solutions, leveraging on advanced AI and digital twin technologies. The role is expected to work both internally and externally with collaborators/stakeholders from industry and government agencies.

Requirements

· PhD in Computer Science/Engineering/Computing/Information Systems/Civil Engineering or equivalent

· At least 5 years of experience

· Relevant experience/expertise in at least one of the following areas: Transport system modelling, Agent-based simulation, Geo-spatial analysis, Digital twin

· Strong interests in statistical modelling, optimization, AI

· Proficient in programming languages like Java, Python or C++

· Self-driven and motivated team player

· Curiosity and passion to learn new things

· Good written and verbal communication skills

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.